data Crawling, Pretreatment, Processing, Training, Model Visualization -> AUTOMATION
- Python 3.5.3
- tensorflow 1.1.0
- Pandas_datareader
- numpy
- matplotlib
- datetime
- python apple.py
- python kospi.py
- tensorboard --logdir=./tensorflowlog
- tensorboard
https://localhost:6006/
graphs
- RNN + Fully connected layer
- Train : Test = 70 : 30
- Train Period = 2010.1.2~2017.5.27
- Predictions Period = 2017.5.28~2017.6.7
- Real Period = 2017.6.8
- Alphabet 0.050(RMSE) 1004.28(Real) 1001.59(Predictions)
- apple 0.020(RMSE) 154.99(Real) 155.37 (Predictions)
- berkshire 0.016(RMSE) 250305(Real) 249621 (Predictions)
- hyundai_motor 0.020(RMSE) 160000(Real) 159000 (Predictions)
- kospi 0.022(RMSE) 2363.57(Real) 2360.14(Predictions)
- samsung_electronics 0.022(RMSE) 2258000(Real) 2265000(Predictions)
- sk_hynix 0.024(RMSE) 56700(Real) 56500(Predictions)
- berkshire
